Implementation Project Manager
Rad AIUnited StatesPosted 10 June 2025
Job Description
Implementation Project Manager
ABOUT RAD AI
At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.
Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.
Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.
Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html list, highlighting the innovation and momentum behind our mission.
If you’re ready to shape the future of healthcare, we’d love to have you on our team!
Why Join Us:
Comprising both radiology and AI expertise, Rad AI's stellar team builds products that maximize radiologist productivity, ultimately making healthcare more widely accessible and improving patient outcomes. Join our team and help us make a positive impact on radiology, patient lives, and healthcare around the world.
We’re looking for an Implementation Project Manager with experience leading software implementation projects. Rad AI’s award-winning software has experienced tremendous market growth. We are looking for a teammate with a “can do'' attitude that is adaptable in a fast-paced, high-growth team.
What You’ll Be Doing:
- Work independently to plan, monitor, and manage multiple complex customer-facing projects
- Lead the end-to-end delivery of Rad AI’s products to radiology practices and health systems, from kick-off to go-live and transition to support
- Facilitate Discovery sessions to understand client workflows, requirements, and success criteria
- Develop detailed project plans, including timelines, milestones, and resource needs
- Coordinate cross-functional teams, including Product, Engineering, and Integration resources, to meet project objectives and deadlines
- Serve as the primary client-facing contact throughout the implementation
- Ensure a smooth onboarding process by managing project timelines, dependencies, and communications with executive, clinical, and IT stakeholders
- Track and manage feature requests, ensuring clear communication, documentation, and prioritization
- Monitor project health, proactively identify risks, and escalate blockers, as needed
- Issue resolution and mitigation strategies based on data-driven decision making
- Conduct weekly status meetings with internal and external stakeholders
- Collaborate and coordinate with Rad AI’s product, engineering, and customer success teams for project goal setting, data integration, testing, and product feedback
- Provide ongoing updates to leadership throughout the project, via dashboards and reports
- Partner with cross-functional teams, i ... (truncated, view full listing at source)
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